AI Infrastructure Engineer – BlueCat Horizon Platform

Toronto OfficeFull-Timemid

OtherAi Infrastructure Engineer

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Quick Summary

Overview

Have you heard of BlueCat? We’re one of those hidden gems that’s been disrupting the market as a key player in the rapidly growing space of Intelligent Network Operations.

Key Responsibilities

You will bridge the gap between "experimental agents" and "production systems." Your mission is to build the secure, scalable, and stateful infrastructure that allows agents to reason, access enterprise tools, and persist memory.

Requirements Summary

Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred. 10+ years' experience in software engineering with around 5+ years commercial experience in cloud distributed systems and high scale designs with…

Technical Tools

awsgohelmkuberneteslangchainopenaipythonterraformci-cddistributed-systemsmicroservicesrest-apissaas

Have you heard of BlueCat? We’re one of those hidden gems that’s been disrupting the market as a key player in the rapidly growing space of Intelligent Network Operations. Organizations require a new model of network operations that links foundational core services with a deep, predictive understanding of network health and performance to improve change readiness. BlueCat’s Intelligent NetOps is a first-to-market combination of systems of understanding and change. BlueCat enables teams to enhance agility and mitigate risks from high rates of change with a unified management lifecycle, from provisioning to proactive troubleshooting and remediation.

At BlueCat, we take immense pride in our award-winning culture, an integral part of our identity. We are proud recipients of several prestigious accolades, including the "Great Place to Work" certification. By becoming a part of our team, you not only join a company at the forefront of technology but also become an integral member of Canada's top workplaces in various categories, including Technology, Today's Youth and Women, and Mental Health and Inclusion.

Responsibilities

~2 min read

→Runtime Implementation: Deploy and optimize the AgentCore Runtime on Amazon EKS, ensuring agents have a secure, high-performance environment for long-running tasks.
→Secure Gateway Logic: Build the AgentCore Gateway using Go to mediate between autonomous agents and internal microservices, enforcing zero-trust security.
→State & Memory Management: Architect persistent state layers, ensuring agents maintain context across sessions or specialized vector stores.

→Platform Integration: Engineer the "connective tissue" between AgentCore and the Horizon Kubernetes platform, ensuring agents have native access to cluster resources and internal services.
→Standardized Tooling: Leverage the Model Context Protocol (MCP) to integrate diverse data sources and internal tools into the agent ecosystem.
→Secure Gateways: Build the "connective tissue" in Go or Python that allows agents to securely interact with enterprise APIs via the AgentCore Gateway.
→Evaluation: Design and implement automated evaluation frameworks to verify that Horizon agents are performing tasks accurately, safely, and within BlueCat's operational guardrails.
→Observability: Build the infrastructure to capture agent execution traces and user feedback, feeding it back into the evaluation pipeline to continuously improve agent reliability.
→Horizon-Specific Tooling: Build secure, high-performance interfaces in Go and Python that allow agents to interact with Horizon APIs, telemetry data, and configuration engines.
→IaC Mastery: Lead the implementation of Terraform or AWS CDK modules to deploy the full AgentCore stack (Identity, Memory, and Gateway) in a repeatable, multi-account fashion.
→Provide the infrastructure support for Retrieval-Augmented Generation (RAG) systems, ensuring low-latency access to vector databases.

→Knowledge Graph Support: Support the integration of Knowledge Graphs into the agent reasoning loop to provide structured enterprise context.

Requirements

~1 min read

Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred.
10+ years' experience in software engineering with around 5+ years commercial experience in cloud distributed systems and high scale designs with Golang and async Python,
Hands-on experience with AWS AgentCore ( or similar Agentic AI platforms), Agent SDK (Strand, OpenAI, LangChain), protocols (MCP, A2A),

Agentic Expertise: Proven ability to move agents beyond "chat" into autonomous "action" loops (MCP, A2A, RAG, KnowledgeBase)

Must have 2+ years hands-on proficiency in Kubernetes, kubernetes operators and containers
Experience with Helm charts, API gateways, ingress/egress gateways

You are passionate about building great REST APIs (and helping others do the same).

Passion for engineering rigor and operational excellence (design principles and patterns, unit testing, best practices for security and privacy, CI/CD etc).
Experience with CI/CD tools (GitLab) & automation
Strong experience with code tools like Terraform
Excellent written and verbal/presentation communication skills